Dual camera snapshot hyperspectral imaging system via physics-informed learning
Abstract
We consider using the system's optical imaging process with convolutional neural networks (CNNs) to solve the snapshot hyperspectral imaging reconstruction problem, which uses a dual-camera system to capture the three-dimensional hyperspectral images (HSIs) in a compressed way. Various methods using CNNs have been developed in recent years to reconstruct HSIs, but most of the supervised deep learning methods aimed to fit a brute-force mapping...
Paper Details
Title
Dual camera snapshot hyperspectral imaging system via physics-informed learning
Published Date
Jul 1, 2022
Volume
154
Pages
107023 - 107023
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